TTLMemoized - a memoized decorator with TTL (time-to-live) support
TTL Memoized - A memoized decorator with TTL (time-to-live) support.
The idea of memoized is great, as some resources are expensive, so you want to cache them.
However, there isn’t a memoized lib support TTL (time-to-live) at the moment, or I haven’t find any thing yet.
So I implement this ttl_memoized to fill in the gap here.
Also, this lib is meant to be thread-safe, using threading.local object to store the variables.
Should be faily simple using pip:
pip install ttl_memoized
The usage is simple, and the best way to explain it, is with my test cases:
def test_basic(): @memoized(ttl=0.5) def a(name): return datetime.datetime.now() @memoized(ttl=0.5) def b(name, *args, **kwargs): return datetime.datetime.now() a1 = a(1) b1 = b(1, 2, 3, what='ever', you='want', to='be') for i in range(100): assert a1 == a(1) for i in range(100): assert b1 is b(1, 2, 3, what='ever', you='want', to='be') a2 = a(2) assert a2 != a1 # let the cache expired... time.sleep(0.51) assert a(1) != a1 assert b1 != b(1, 2, 3, what='ever', you='want', to='be')
The parameter for the functions is required to be serializable with json libs, as the lib is using json to build the keys from parameters.
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